Dong‐Ming Shen

1.5k total citations
23 papers, 294 citations indexed

About

Dong‐Ming Shen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Dong‐Ming Shen has authored 23 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in Dong‐Ming Shen's work include Chemical Synthesis and Analysis (4 papers), Peptidase Inhibition and Analysis (3 papers) and Diabetes Treatment and Management (3 papers). Dong‐Ming Shen is often cited by papers focused on Chemical Synthesis and Analysis (4 papers), Peptidase Inhibition and Analysis (3 papers) and Diabetes Treatment and Management (3 papers). Dong‐Ming Shen collaborates with scholars based in United States, China and Poland. Dong‐Ming Shen's co-authors include Min Shu, Kevin T. Chapman, Thomas H. Graham, Wensheng Liu, Songnian Lin, Emma R. Parmee, Anne Gurnett, Penny Leavitt, Christine McCallum and María L. García and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and IEEE Transactions on Automatic Control.

In The Last Decade

Dong‐Ming Shen

21 papers receiving 286 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dong‐Ming Shen United States 11 132 117 29 23 19 23 294
Wenge Li China 10 162 1.2× 118 1.0× 32 1.1× 6 0.3× 19 1.0× 33 399
Heinz‐Werner Kleemann Germany 9 164 1.2× 70 0.6× 11 0.4× 25 1.1× 36 1.9× 16 370
Ashutosh Singhal United States 7 112 0.8× 30 0.3× 7 0.2× 17 0.7× 18 0.9× 12 339
Ling Ning China 12 133 1.0× 25 0.2× 20 0.7× 10 0.4× 12 0.6× 20 334
Imteyaz Qamar India 11 147 1.1× 34 0.3× 16 0.6× 21 0.9× 8 0.4× 27 373
Constantine George United States 11 270 2.0× 86 0.7× 7 0.2× 9 0.4× 18 0.9× 11 367
Galina Bernstein United States 5 252 1.9× 67 0.6× 22 0.8× 20 0.9× 7 0.4× 5 391
Po-Hung Hsieh United States 8 301 2.3× 196 1.7× 20 0.7× 3 0.1× 50 2.6× 8 463
Yanling Mu China 10 177 1.3× 37 0.3× 28 1.0× 6 0.3× 22 1.2× 24 318
Wei Peng China 11 173 1.3× 19 0.2× 20 0.7× 6 0.3× 22 1.2× 57 401

Countries citing papers authored by Dong‐Ming Shen

Since Specialization
Citations

This map shows the geographic impact of Dong‐Ming Shen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dong‐Ming Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Ming Shen more than expected).

Fields of papers citing papers by Dong‐Ming Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Ming Shen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dong‐Ming Shen. The network helps show where Dong‐Ming Shen may publish in the future.

Co-authorship network of co-authors of Dong‐Ming Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Ming Shen. A scholar is included among the top collaborators of Dong‐Ming Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dong‐Ming Shen. Dong‐Ming Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shen, Dong‐Ming, et al.. (2024). Optimal Control of Logically Constrained Partially Observable and Multiagent Markov Decision Processes. IEEE Transactions on Automatic Control. 70(1). 263–277. 1 indexed citations
2.
Zhao, Kegang, et al.. (2023). Analysis of Noise of Hydraulic Mounts from Decoupler-Cage Hitting. SAE technical papers on CD-ROM/SAE technical paper series. 1.
3.
Shen, Dong‐Ming, et al.. (2023). Deep Learning-Based Automatic Defect Detection Method for Sewer Pipelines. Sustainability. 15(12). 9164–9164. 12 indexed citations
4.
Xi, Lei, et al.. (2022). Transcriptome Analysis of the Anti-Proliferative Effects of Ginsenoside Rh3 on HCT116 Colorectal Cancer Cells. Molecules. 27(15). 5002–5002. 10 indexed citations
5.
Shen, Dong‐Ming, et al.. (2022). Finite Element Model Modification of the Mount Bracket Based on Modal Test. SAE International Journal of Advances and Current Practices in Mobility. 4(5). 1804–1814.
7.
Li, Fan, Jianhui Zhao, Chao Tan, et al.. (2022). Controllable Free Viewpoint Video Reconstruction Based on Neural Radiance Fields and Motion Graphs. IEEE Transactions on Visualization and Computer Graphics. 29(12). 4891–4905. 9 indexed citations
8.
Muise, Eric S., Yonghua Zhu, Andreas Verras, et al.. (2014). Identification and Characterization of Sebaceous Gland Atrophy-Sparing DGAT1 Inhibitors. PLoS ONE. 9(2). e88908–e88908. 7 indexed citations
9.
Graham, Thomas H., Min Shu, Andreas Verras, et al.. (2014). Pyrazoles as non-classical bioisosteres in prolylcarboxypeptidase (PrCP) inhibitors. Bioorganic & Medicinal Chemistry Letters. 24(7). 1657–1660. 15 indexed citations
10.
McManus, Owen B., William A. Schmalhofer, Dong‐Ming Shen, et al.. (2012). Selective, Direct Activation of High-Conductance, Calcium-Activated Potassium Channels Causes Smooth Muscle Relaxation. Molecular Pharmacology. 81(4). 567–577. 17 indexed citations
11.
Wu, Zhicai, Thomas H. Graham, Andreas Verras, et al.. (2012). Discovery of aminoheterocycles as potent and brain penetrant prolylcarboxypeptidase inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(4). 1727–1730. 4 indexed citations
12.
Shen, Dong‐Ming, Songnian Lin, & Emma R. Parmee. (2011). A survey of small molecule glucagon receptor antagonists from recent patents (2006 – 2010). Expert Opinion on Therapeutic Patents. 21(8). 1211–1240. 22 indexed citations
13.
Zhao, Xuemei, Katie Southwick, Helene L. Cardasis, et al.. (2010). Peptidomic profiling of human cerebrospinal fluid identifies YPRPIHPA as a novel substrate for prolylcarboxypeptidase. PROTEOMICS. 10(15). 2882–2886. 8 indexed citations
14.
Kaczmarek, Przemysław, Vijay Singh, Doreen E. Cashen, et al.. (2009). Somatostatin receptor subtypes 2 and 5 mediate inhibition of egg yolk-induced gall bladder emptying in mice. Neurogastroenterology & Motility. 22(2). 204–e66. 8 indexed citations
15.
McCallum, Christine, et al.. (2007). Triptolide binds covalently to a 90 kDa nuclear protein. Role of epoxides in binding and activity. Immunobiology. 212(7). 549–556. 28 indexed citations
16.
García, María L., Dong‐Ming Shen, & Gregory J. Kaczorowski. (2007). High-conductance calcium-activated potassium channels. Expert Opinion on Therapeutic Patents. 17(7). 831–842. 10 indexed citations
17.
Shen, Dong‐Ming, et al.. (2005). Discovery of Novel, Potent, and Orally Active Spiro‐Urea Human Glucagon Receptor Antagonists.. ChemInform. 37(2). 1 indexed citations
18.
Shen, Dong‐Ming, Min Shu, Sander G. Mills, et al.. (2004). Antagonists of human CCR5 receptor containing 4-(pyrazolyl)piperidine side chains. Part 1: Discovery and SAR study of 4-pyrazolylpiperidine side chains. Bioorganic & Medicinal Chemistry Letters. 14(4). 935–939. 22 indexed citations
19.
Yates, Nathan A., Andrew D. Roberts, Scott C. Berk, et al.. (2001). Mass Spectrometry Screening of Combinatorial Mixtures, Correlation of Measured and Predicted Electrospray Ionization Spectra. Analytical Chemistry. 73(13). 2941–2951. 17 indexed citations
20.
Shen, Dong‐Ming, Min Shu, & Kevin T. Chapman. (2000). Versatile and Efficient Solid-Phase Syntheses of Pyrazoles and Isoxazoles. Organic Letters. 2(18). 2789–2792. 44 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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